In-Depth Guides to Managing Data
The CDL maintains this extensive set of guidelines on how to manage data, with links to other guides.
The DAAC's guide to data management contains comprehensive instructions on managing data for environmental sciences.
Data Management Basics
The present trend in the sciences is towards greater collaboration, accessibility, and transparency in data management. Certain practices will help facilitate this such as:
- Making a plan to store your data
- Finding the right medium to store your data
- Developing a user-friendly system of organizing your data
- Ensuring that others can have access to your data
- Ensuring that your data is safe and secure
You can find out more about the basics of data management at our Scientific Data Management Practices Overview.
During the course of your research, you may accumulate a large amount of data, which will need to be carefully organized and managed for later analysis. Furthermore, most grant funding agencies require that grant applications include a data management plan. The Library has access to a variety of tools and services to assist you with data management.
"Data Observation Network for Earth (DataONE) is the foundation of new innovative environmental science through a distributed framework and sustainable cyberinfrastructure that meets the needs of science and society for open, persistent, robust, and secure access to well-described and easily discovered Earth observational data."
UCB/CDL Data Management Tools
"An open source tool helping researchers document, manage, and archive their tabular data, DataUp operates within the scientist's workflow and integrates with Microsoft® Excel."
Online tool for creating data management plans.
Automatically generates unique, permanent identifiers for data sets.